ow different is this expected cell count from what was observed for that cell? What does this suggest about the strength of evidence against the null hypothesis?
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e) Good conclusion: f) Does the evidence require us to reject the null hypothesis? Circle one. YES NO I now want you to determine which of the five groups have at least one cell in which the "Expected" count appears to be significantly different than the "Observed" count. In this case we will use the following Rule of Thumb: For each cell, if the larger count is more than 1.5 times the smaller count, then that will be considered a significant difference. g) List each cell in the table on the previous page that has a significant difference between the Expected count and the Observed count. Answer: Cells # 5, #15, and #20 from column 5 (Group #5) all show significant differences and so does cell #16 from column 1 (Group #1). h) Finally, which of the groups below have at least one cell in which the difference between the Expected count and the Observed count is significant. Group #1 Group #2 Group #3 Group #4 Group#5 less than 10 hrs/wk 10 to 20 hrs./wk 21to30 hrs/wk 31to40 hrs/wk over 40 hrs./wk
Sri K.
Jenny W.
Consider once again the counts of lab assistant A: Assistant 2 3 5 6 248 249 255 249 251 247 254 254 a) You realize that the observations look suspiciously precise. Perform a hypothesis test (at a significance level of 5%) on whether the observed variance is equal to the variance that would be predicted from the Poisson distribution. Hint 1: The true variance predicted by the Poisson distribution will not be exact, but it will be much more exact than the sample estimate of the variance. Hint 2: You should find that the null hypothesis is rejected, but an important question is why. There are different ways to define a "replicate". If you know for a fact that the number of cells that end up on a microscope slide is Poisson distributed, then the high precision may actually represent the relatively small amount of error from re-counting the same slide 8 times.
Dominador T.
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